Author

S. Srijan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

K. Hudson· 1 shared K. Varala· 1 shared M. Dobbins· 1 shared R. Ranjan· 1 shared S. Balekuttira· 1 shared T. Agarwal· 1 shared X. Wang· 1 shared Y. Li· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPlant Biology

K. Hudson

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1 paper

Recent·Most cited

Genome-wide, Organ-delimited gene regulatory networks (OD-GRNs) provide high accuracy in candidate TF selection across diverse processes.

R. Ranjan, S. Srijan, S. Balekuttira, T. Agarwal, M. Dobbins, X. Wang, K. Hudson, Y. Li, K. Varala

The paper develops a machine learning framework to create organ-specific gene expression datasets and infer gene regulatory networks, achieving high accuracy in predicting transcription factors regulating organ-specific processes.

bioRxiv · Jun 17, 2023Plant Biology